scholarly journals An Energy Efficient and Formally Secured Certificate-Based Signcryption for Wireless Body Area Networks with the Internet of Things

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1171 ◽  
Author(s):  
Insaf Ullah ◽  
Abdullah Alomari ◽  
Noor Ul Amin ◽  
Muhammad Asghar Khan ◽  
Hizbullah Khattak

Recently, the spectacular innovations in the fields of wireless body area networks (WBAN) and the Internet of Things (IoT) have made e-Care services rise as a promising application domain, which significantly advances the quality of the medical system, however, due to the openness of the wireless environment and privacy of people’s physiological data, WBAN and IoT are prone to various cyber-attacks. There is a significant need for an efficient and highly secured cryptographic scheme that can meet the requirements of resource-constrained devices. Therefore, in this paper, we propose a certificate-based signcryption (CB-SN) scheme for the IoT-enabled WBAN. The proposed scheme is based on the concept of hyper-elliptic curve cryptography (HECC) that offers the same level of security as the elliptic curve and bilinear pairing with lower-key size. The formal security verification using the Automated Validation of the Internet Security Protocols and Applications (AVISPA) tool along with informal security analysis demonstrate that the proposed scheme is not just reducing the complexity of resource-constrained IoT devices, but proves to be secure against several well-known cryptographic attacks. Moreover, performance comparison with relevant existing schemes authenticates that the proposed scheme is far more secure and energy efficient.

Technologies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Eljona Zanaj ◽  
Giuseppe Caso ◽  
Luca De Nardis ◽  
Alireza Mohammadpour ◽  
Özgü Alay ◽  
...  

In the last years, the Internet of Things (IoT) has emerged as a key application context in the design and evolution of technologies in the transition toward a 5G ecosystem. More and more IoT technologies have entered the market and represent important enablers in the deployment of networks of interconnected devices. As network and spatial device densities grow, energy efficiency and consumption are becoming an important aspect in analyzing the performance and suitability of different technologies. In this framework, this survey presents an extensive review of IoT technologies, including both Low-Power Short-Area Networks (LPSANs) and Low-Power Wide-Area Networks (LPWANs), from the perspective of energy efficiency and power consumption. Existing consumption models and energy efficiency mechanisms are categorized, analyzed and discussed, in order to highlight the main trends proposed in literature and standards toward achieving energy-efficient IoT networks. Current limitations and open challenges are also discussed, aiming at highlighting new possible research directions.


Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 404
Author(s):  
Yasmeen Al-Saeed ◽  
Eman Eldaydamony ◽  
Ahmed Atwan ◽  
Mohammed Elmogy ◽  
Osama Ouda

Wireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for monitoring his/her physiological characteristics. Although medical healthcare systems could significantly benefit from the advancement of WBAN technology, collecting and transmitting private physiological data in such an open environment raises serious security and privacy concerns. In this paper, we propose a novel key-agreement protocol to secure communications among sensor nodes of WBANs. The proposed protocol is based on measuring and verifying common physiological features at both sender and recipient sensors prior to communicating. Unlike existing protocols, the proposed protocol enables communicating sensors to use their previous session pre-knowledge for secure communication within a specific period of time. This will reduce the time required for establishing the shared key as well as avoid retransmitting extracted features in the medium and hence thwarting eavesdropping attacks while maintaining randomness of the key. Experimental results illustrate the superiority of the proposed key agreement protocol in terms of both feature extraction and key agreement phases with an accuracy of 99.50% and an error rate of 0.005%. The efficacy of the proposed protocol with respect to energy and memory utilization is demonstrated compared with existing key agreement protocols.


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